Loading...
Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms
Journal Title
The Journal of Physiology
Keywords
Readers/Advisors
Journal Title
Term and Year
Publication Date
2016-02-04
Book Title
Publication Volume
594
Publication Issue
9
Publication Begin
2525
Publication End
2536
Number of pages
Collections
Files
Loading...
TJP-594-2525.pdf
Adobe PDF, 673.98 KB
Research Projects
Organizational Units
Journal Issue
Abstract
Mathematical models of cardiac electrophysiology are instrumental in determining mechanisms of cardiac arrhythmias. However, the foundation of a realistic multiscale heart model is only as strong as the underlying cell model. While there have been myriad advances in the improvement of cellular-level models, the identification of model parameters, such as ion channel conductances and rate constants, remains a challenging problem. The primary limitations to this process include: (1) such parameters are usually estimated from data recorded using standard electrophysiology voltage-clamp protocols that have not been developed with model building in mind, and (2) model parameters are typically tuned manually to subjectively match a desired output. Over the last decade, methods aimed at overcoming these disadvantages have emerged. These approaches include the use of optimization or fitting tools for parameter estimation and incorporating more extensive data for output matching. Here, we review recent advances in parameter estimation for cardiomyocyte models, focusing on the use of more complex electrophysiology protocols and global search heuristics. We also discuss future applications of such parameter identification, including development of cell-specific and patient-specific mathematical models to investigate arrhythmia mechanisms and predict therapy strategies.
Citation
Krogh-Madsen T, Sobie EA, Christini DJ. Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms. J Physiol. 2016 May 1;594(9):2525-36. doi: 10.1113/JP270618. Epub 2016 Feb 4. PMID: 26661516; PMCID: PMC4850194.